C++ (Cpp) PARAM_ERROR_CHECK 예제들

예제 #1

파일: OpenCV_transpose.cpp 프로젝트: GPUOpen-ProfessionalCompute-Libraries/amdovx-modules

/************************************************************************************************************
Function to Register the Kernel for Publish
*************************************************************************************************************/
vx_status CV_transpose_Register(vx_context context)
{
	vx_status status = VX_SUCCESS;
	vx_kernel kernel = vxAddKernel(context,
		"org.opencv.transpose",
		VX_KERNEL_OPENCV_TRANSPOSE,
		CV_transpose_Kernel,
		2,
		CV_transpose_InputValidator,
		CV_transpose_OutputValidator,
		nullptr,
		nullptr);

	if (kernel)
	{
		PARAM_ERROR_CHECK(vxAddParameterToKernel(kernel, 0, VX_INPUT, VX_TYPE_IMAGE, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(kernel, 1, VX_OUTPUT, VX_TYPE_IMAGE, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxFinalizeKernel(kernel));
	}

	if (status != VX_SUCCESS)
	{
	exit:	vxRemoveKernel(kernel); return VX_FAILURE;
	}

	return status;
}

예제 #2

파일: OpenCV_sepFilter2D.cpp 프로젝트: citrix123/amdovx-modules

/************************************************************************************************************
Function to Register the Kernel for Publish
*************************************************************************************************************/
vx_status CV_sepFilter2D_Register(vx_context context)
{
	vx_status status = VX_SUCCESS;
	vx_kernel kernel = vxAddKernel(context,
		"org.opencv.sepfilter2d",
		VX_KERNEL_EXT_CV_SEPFILTER_2D,
		CV_sepFilter2D_Kernel,
		9,
		CV_sepFilter2D_InputValidator,
		CV_sepFilter2D_OutputValidator,
		nullptr,
		nullptr);

	if (kernel)
	{
		PARAM_ERROR_CHECK(vxAddParameterToKernel(kernel, 0, VX_INPUT, VX_TYPE_IMAGE, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(kernel, 1, VX_OUTPUT, VX_TYPE_IMAGE, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(kernel, 2, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(kernel, 3, VX_INPUT, VX_TYPE_MATRIX, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(kernel, 4, VX_INPUT, VX_TYPE_MATRIX, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(kernel, 5, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(kernel, 6, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(kernel, 7, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(kernel, 8, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxFinalizeKernel(kernel));
	}

	if (status != VX_SUCCESS)
	{
	exit:	vxRemoveKernel(kernel); return VX_FAILURE;
	}

	return status;
}

예제 #3

파일: OpenCV_SURF_Compute.cpp 프로젝트: GPUOpen-ProfessionalCompute-Libraries/amdovx-modules

/************************************************************************************************************
Function to Register the Kernel for Publish
*************************************************************************************************************/
vx_status CV_SURF_compute_Register(vx_context context)
{
	vx_status status = VX_SUCCESS;
	vx_kernel Kernel = vxAddKernel(context,
		"org.opencv.surf_compute",
		VX_KERNEL_OPENCV_SURF_COMPUTE,
		CV_SURF_Compute_Kernel,
		9,
		CV_SURF_Compute_InputValidator,
		CV_SURF_Compute_OutputValidator,
		nullptr,
		nullptr);

	if (Kernel)
	{
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 0, VX_INPUT, VX_TYPE_IMAGE, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 1, VX_INPUT, VX_TYPE_IMAGE, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 2, VX_BIDIRECTIONAL, VX_TYPE_ARRAY, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 3, VX_BIDIRECTIONAL, VX_TYPE_ARRAY, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 4, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 5, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 6, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 7, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 8, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxFinalizeKernel(Kernel));
	}

	if (status != VX_SUCCESS)
	{
	exit:	vxRemoveKernel(Kernel); return VX_FAILURE;
	}

	return status;
}

예제 #4

파일: OpenCV_norm.cpp 프로젝트: citrix123/amdovx-modules

/************************************************************************************************************
Function to Register the Kernel for Publish
*************************************************************************************************************/
vx_status CV_norm_Register(vx_context context)
{
	vx_status status = VX_SUCCESS;
	vx_kernel kernel = vxAddKernel(context,
		"org.opencv.norm",
		VX_KERNEL_EXT_CV_NORM,
		CV_norm_Kernel,
		3,
		CV_norm_InputValidator,
		CV_norm_OutputValidator,
		nullptr,
		nullptr);

	if (kernel)
	{
		PARAM_ERROR_CHECK(vxAddParameterToKernel(kernel, 0, VX_INPUT, VX_TYPE_IMAGE, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(kernel, 1, VX_BIDIRECTIONAL, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(kernel, 2, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxFinalizeKernel(kernel));
	}

	if (status != VX_SUCCESS)
	{
	exit:	vxRemoveKernel(kernel); return VX_FAILURE;
	}

	return status;
}

예제 #5

파일: OpenCV_warpPerspective.cpp 프로젝트: GPUOpen-ProfessionalCompute-Libraries/amdovx-modules

/************************************************************************************************************
Function to Register the Kernel for Publish
*************************************************************************************************************/
vx_status CV_warpPerspective_Register(vx_context context)
{
	vx_status status = VX_SUCCESS;
	vx_kernel Kernel = vxAddKernel(context,
		"org.opencv.warpperspective",
		VX_KERNEL_OPENCV_WARP_PERSPECTIVE,
		CV_warpPerspective_Kernel,
		7,
		CV_warpPerspective_InputValidator,
		CV_warpPerspective_OutputValidator,
		nullptr,
		nullptr);

	if (Kernel)
	{
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 0, VX_INPUT, VX_TYPE_IMAGE, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 1, VX_OUTPUT, VX_TYPE_IMAGE, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 2, VX_INPUT, VX_TYPE_MATRIX, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 3, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 4, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 5, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 6, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxFinalizeKernel(Kernel));
	}

	if (status != VX_SUCCESS)
	{
	exit:	vxRemoveKernel(Kernel); return VX_FAILURE;
	}

	return status;
}

예제 #6

파일: OpenCV_fastNlMeansDenoisingColored.cpp 프로젝트: GPUOpen-ProfessionalCompute-Libraries/amdovx-modules

/************************************************************************************************************
Function to Register the Kernel for Publish
*************************************************************************************************************/
vx_status CV_fastNlMeansDenoisingColored_Register(vx_context context)
{
	vx_status status = VX_SUCCESS;
	vx_kernel Kernel = vxAddKernel(context,
		"org.opencv.fastnlmeansdenoisingcolored",
		VX_KERNEL_OPENCV_FAST_NL_MEANS_DENOISING_COLORED,
		CV_fastNlMeansDenoisingColored_Kernel,
		6,
		CV_fastNlMeansDenoisingColored_InputValidator,
		CV_fastNlMeansDenoisingColored_OutputValidator,
		nullptr,
		nullptr);

	if (Kernel)
	{
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 0, VX_INPUT, VX_TYPE_IMAGE, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 1, VX_OUTPUT, VX_TYPE_IMAGE, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 2, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 3, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 4, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxAddParameterToKernel(Kernel, 5, VX_INPUT, VX_TYPE_SCALAR, VX_PARAMETER_STATE_REQUIRED));
		PARAM_ERROR_CHECK(vxFinalizeKernel(Kernel));
	}

	if (status != VX_SUCCESS)
	{
	exit:	vxRemoveKernel(Kernel); return VX_FAILURE;
	}

	return status;
}